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Salesforce, Inc. seeks backend engineers to design, develop, and operate large-scale distributed systems for a public cloud platform. You will build infrastructure-as-code, automate cloud provisioning, and develop microservices with Kubernetes and Docker to ensure high availability.
You will join an on-call rotation, collaborate across teams, and contribute to secure, scalable solutions across data centers and multiple clouds.
You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systemsIn-depth, hands-on experience with Linux Systems Administration and Troubleshooting, servers, and Cloud architecture. Good knowledge of Linux internalsPublic cloud engineering on GCP, AWS, and or Azure platforms. Cloud provisioning, infrastructure, and migration at cloud scaleConfiguration management with open-source tools, ideally Puppet, Chef, Salt, or AnsibleCI/CD experience with tools like Jenkins, and Travis CIExperience with infrastructure automation tools like Splunk, Puppet, Spinnaker, Terraform, git, etcUse of AI assisted development tools to automate DNS and infrastructure managementMinimum of 3 years of backend software development experience (Python) working with Cloud ArchitectureSolid understanding of configuring, deploying, managing, and maintaining large cloud-hosted systemsEmbrace a culture and work environment that promotes diversity and inclusionExperience with Agile development methodology and Test Driven DevelopmentA continuous learner, a critical thinker, and a team player with excellent communication skillsStrong understanding of fundamental network technologies like DNS, Load Balancing, SSL, TCP/IP, SQL, HTTP, Switches, RoutersProven professional work experience with Python. In-depth understanding of OOP, design patterns, data structures, algorithms, and concurrencyExperience maintaining monitoring platforms like GrafanaExperience with container and orchestration systems like Kubernetes, Docker, etcImplementation experience of large infrastructure projectsExperience using AWS Route 53Working in high-availability, 24x7x365 large-scale multi-datacenter environmentHighly skilled in packet analysis, network analysis tools, troubleshooting, and analytical fault diagnosisSecurity hardening of network infrastructure, such as DNSSEC